Featured Projects
Anigraph
Full-stack web application leveraging Neo4j graph database to discover anime connections through 380,000 staff, tag and genre relationships across 22,000 titles.
Visit Live Site →Key Achievements:
- → Architected microservices stack with Docker Compose, Nginx, Nuxt.js 3 SSR, Neo4j 5.15, and Elasticsearch 8.11
- → Built interactive D3.js visualization with force-directed and radial graph layouts achieving performant graph rendering on mobile and desktop platforms.
- → Engineered data ingestion pipeline, processing large-scale CSV datasets with optimized memory management
- → Implemented recommendation engine with role-weighted scoring achieving sub-10ms query execution
- → Deployed containerized application with automated SSL certificate management and reverse proxy configuration
Nuxt.js 3
Vue 3
TypeScript
Neo4j
Elasticsearch
D3.js
Docker
Database Management
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Facial Recognition Graph Search
RGBAttack, or "Relationship Graph Based Attack", is an open-source intelligence (OSINT) tool designed to help users discover information about individuals captured in photos.
Key Achievements:
- → Built a Python backend with RESTful APIs for image upload, facial detection (OpenCV), and structured graph data generation
- → Engineered an interactive frontend using JavaScript and vis.js for real-time graph rendering, node editing, and depth-based visual scaling
- → Implemented Excel (.xlsx) export via API endpoints for offline graph and metadata analysis
- → Designed the system for scalability and responsiveness with asynchronous pipelines and caching strategies
Python
Flask
OpenCV
Redis
Vis.js
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